mirror of
https://github.com/open-compass/opencompass.git
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99 lines
3.4 KiB
Python
Executable File
99 lines
3.4 KiB
Python
Executable File
#! /usr/bin/env python
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from pathlib import Path
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import yaml
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from tabulate import tabulate
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OC_ROOT = Path(__file__).absolute().parents[2]
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GITHUB_PREFIX = 'https://github.com/open-compass/opencompass/tree/main/'
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DATASETZOO_TEMPLATE = """\
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# 数据集统计
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在本页面中，我们列举了OpenCompass所支持的所有数据集。
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你可以使用排序和搜索功能找到需要的数据集。
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我们对每一个数据集都给出了推荐的运行配置，部分数据集中还提供了基于LLM Judge的推荐配置。
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你可以基于推荐配置快速启动评测。但请注意，推荐配置可能随时间推移被更新。
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"""
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with open('dataset_statistics.md', 'w') as f:
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f.write(DATASETZOO_TEMPLATE)
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load_path = str(OC_ROOT / 'dataset-index.yml')
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with open(load_path, 'r') as f2:
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data_list = yaml.load(f2, Loader=yaml.FullLoader)
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HEADER = ['name', 'category', 'paper', 'configpath', 'configpath_llmjudge']
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recommanded_dataset_list = [
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'ifeval', 'aime2024', 'bbh', 'bigcodebench', 'cmmlu', 'drop', 'gpqa',
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'hellaswag', 'humaneval', 'korbench', 'livecodebench', 'math', 'mmlu',
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'mmlu_pro', 'musr', 'math500'
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]
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def table_format(data_list):
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table_format_list = []
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for i in data_list:
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table_format_list_sub = []
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for j in i:
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if j in recommanded_dataset_list:
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link_token = '[链接]('
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else:
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link_token = '[链接(TBD)]('
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for index in HEADER:
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if index == 'paper':
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table_format_list_sub.append('[链接](' + i[j][index] + ')')
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elif index == 'configpath_llmjudge':
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if i[j][index] == '':
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table_format_list_sub.append(i[j][index])
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else:
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table_format_list_sub.append(link_token +
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GITHUB_PREFIX +
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i[j][index] + ')')
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elif index == 'configpath':
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if isinstance(i[j][index], list):
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sub_list_text = ''
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for k in i[j][index]:
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sub_list_text += (link_token + GITHUB_PREFIX + k +
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') / ')
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table_format_list_sub.append(sub_list_text[:-2])
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else:
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table_format_list_sub.append(link_token +
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GITHUB_PREFIX +
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i[j][index] + ')')
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else:
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table_format_list_sub.append(i[j][index])
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table_format_list.append(table_format_list_sub)
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return table_format_list
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data_format_list = table_format(data_list)
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def generate_table(data_list, title=None):
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with open('dataset_statistics.md', 'a') as f:
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if title is not None:
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f.write(f'\n{title}')
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f.write("""\n```{table}\n:class: dataset\n""")
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header = ['数据集名称', '数据集类型', '原文或资源地址', '推荐配置', '推荐配置(基于LLM评估)']
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table_cfg = dict(tablefmt='pipe',
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floatfmt='.2f',
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numalign='right',
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stralign='center')
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f.write(tabulate(data_list, header, **table_cfg))
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f.write('\n```\n')
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generate_table(
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data_list=data_format_list,
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title='## 支持数据集列表',
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)
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